David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
In Dan J. Stein & J. Ludick (eds.), Neural Networks and Psychopathology. Cambridge University Press. 248--273 (1998)
According to Aristotle, "to be learning something is the greatest of pleasures not only to the philosopher but also to the rest of mankind," (Poetics 1448b). But even as he affirms the unbounded human capacity for integrating new experience with existing knowledge, he alludes to a significant exception: "The sight of certain things gives us pain, but we enjoy looking at the most exact images of them, whether the forms of animals which we greatly despise or of corpses." Our capacity for learning is happily engaged in viewing representations of painful objects, but not, it seems, in viewing the objects themselves. When an experience is intensely painful, what then is a rational animal to do? We can neither disable our learning process, nor erase its traces. In the face of intense pain, horror, or terror, learning and remembrance cause no pleasure but rather persistent psychological pain and disruption. The memorious mind reverberates with trauma
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Marshall Devor (2007). Pain, Cortex, and Consciousness. Behavioral and Brain Sciences 30 (1):89-90.
Ron Sun (1997). Learning, Action, and Consciousness: A Hybrid Approach Toward Modeling Consciousness. Neural Networks 10:1317-33.
Dan Hunter (1999). Out of Their Minds: Legal Theory in Neural Networks. [REVIEW] Artificial Intelligence and Law 7 (2-3):129-151.
Arnaud Destrebecqz & Philippe Peigneux (2005). Methods for Studying Unconscious Learning. Progress in Brain Research 150:69-80.
Gualtiero Piccinini (2008). Some Neural Networks Compute, Others Don't. Neural Networks 21 (2-3):311-321.
Arnaud Destrebecqz, Philippe Peigneux, Steven Laureys, Christian Degueldre, Guy Del Fiore, Joel Aerts, Andre Luxen, Martia Van Der Linden, Axel Cleeremans & Pierre Maquet (2005). The Neural Correlates of Implicit and Explicit Sequence Learning: Interacting Networks Revealed by the Process Dissociation Procedure. Learning and Memory 12 (5):480-490.
Enrico Blanzieri (1997). Dynamical Learning Algorithms for Neural Networks and Neural Constructivism. Behavioral and Brain Sciences 20 (4):559-559.
Stephen Downes (2010). Learning Networks and Connective Knowledge. In Harrison Hao Yang & Steve Chi-Yin Yuen (eds.), Collective Intelligence and E-Learning 2.0: Implications of Web-Based Communities and Networking. IGI Global.
Dan Lloyd (1996). Consciousness, Connectionism, and Cognitive Neuroscience: A Meeting of the Minds. Philosophical Psychology 9 (1):61-78.
Added to index2009-01-28
Total downloads30 ( #84,181 of 1,696,650 )
Recent downloads (6 months)1 ( #345,998 of 1,696,650 )
How can I increase my downloads?